Syllabus

UNE Summer Session

MAT 150: Statistics for Life Sciences – 6 Weeks

Credits - 3

Description

MAT 150 Statistics for Life Sciences

  • Course: MAT 150 – Statistics for Life Sciences

  • Prerequisites: LAC 022 or SAS 022 or UL4 mathematics placement

  • Textbook: OpenIntro Statistics, 4ed, D. Diez, M. Cetinkaya-Rundel, C. Barr, Creative Commons, freely available: OpenIntro Statistics

  • Supplementary Text: Introduction to Modern Statistics, M. Cetinkaya-Rundel, J. Hardin, Creative Commons, free web-based: Introduction to Modern Statistics

Instructor Information

 

Course Description

In this course, students apply principles of research design and statistics to analyze and interpret data and draw conclusions about experimental situations relevant to the sciences. Topics include random sampling, graphic and numeric descriptive data analysis, the normal distribution, hypothesis testing, t-tests, analysis of variance, correlation, and regression. Students will use statistical software to examine data graphically and perform statistical analyses.

Materials

Materials

  • Textbook: OpenIntro Statistics, 4ed, D. Diez, M. Cetinkaya-Rundel, C. Barr, Creative Commons, freely available: OpenIntro Statistics

  • Supplementary Text: Introduction to Modern Statistics, M. Cetinkaya-Rundel, J. Hardin, Creative Commons, free web-based: Introduction to Modern Statistics

Computational Tools

Statistics in real-world applications requires statistical software. Software allows us to focus on the methods and applications rather than the computations. (We will, however, study the formulas to gain insights into their meaning and use.) We will use the R statistical software for our computations and analysis. No prior experience with statistical software or programming is required or assumed. You will gain familiarity with R through using it in class, and through code examples and tutorials I will give you.

You will access R through a cloud-based platform and development environment called RStudio, available on Posit Cloud.  You will receive an email invitation to join the class space on Posit Cloud.  

Learning Objectives and Outcomes

Learning Outcomes

At the conclusion of this course, students will be able to:

  • Distinguish among different types of data.

  • Describe a variety of random sampling methods.

  • Summarize data verbally, numerically, symbolically, and/or graphically to effectively communicate the results of data analysis.

  • Perform inferential hypothesis testing, including t-tests, analysis of variance, correlation, and regression.

  • Recognize some sources of bias and limitations of statistical analysis and inferences.

Assignments

Homework

Homework will be assigned weekly and completed on Brightspace.

Exams

There will be two exams.

 

Grading Policy

Your grade in this course will be determined by the following criteria:

Grade Breakdown

Homework60%
Exams40% (20% each)

Grade Scale

Grade Points Grade Point Average (GPA)
A 94 – 100% 4.00
A- 90 – 93% 3.75
B+ 87 – 89% 3.50
B 84 – 86% 3.00
B- 80 – 83% 2.75
C+ 77 – 79% 2.50
C 74 – 76% 2.00
C- 70 – 73% 1.75
D 64 – 69% 1.00
F 00 – 63% 0.00

Schedule

Schedule of Topics

Week of

Text Section

Topics

Jan 13

1.1

Welcome; Case studies, examples

(one class)

1.2

Data basics; Types of variables

Jan 20

1.2

Data basics; Types of variables (cont)

(one class)

1.3

Sampling principles and strategies

Jan 27

1.4

Experiments

 

2.1

Examining numerical data

Feb 3

2.2

Considering categorical data

 

2.3

Case study

Feb 10

3.1

Defining probability

 

3.2

Conditional probability

Feb 17

3.4

Random variables

 

3.5

Continuous distributions

Feb 24

4.1

Normal distribution

 

4.3

Binomial distribution

Mar 3

5.1

Point estimates and sampling variability

 

5.2

Confidence intervals for a proportion

Mar 10

 

Exam 1

 

5.3

Hypothesis testing for a proportion

Mar 17

 

Spring Break

Mar 24

6.1

Inference for a single proportion

 

6.2

Difference of two proportions

Mar 31

7.1

One-sample means with the t-distribution

 

7.2

Paired data

Apr 7

7.3

Difference of two means

 

7.4

Power calculations for difference of two means*

Apr 14

7.5

Comparing many means with ANOVA

 

7.5

ANOVA

Apr 21

8.1

Fitting a line, residuals, and correlation

 

8.2

Least squares regression

Apr 28

9.1

Linear Regression, cont

May 5

 

Final Exam

 

 

Student Resources

Summer Session Online Student Support

Your Student Support Specialist is a resource for you. Please don't hesitate to contact them for assistance, including, but not limited to course planning, current problems or issues in a course, technology concerns, or personal emergencies.

Questions? Email: summersessiononline@une.edu.

Instructor and Support Contact Information

Check Brightspace for specific instructor and support specialist contact information.

UNE Libraries

Further Assistance

Your student support specialist monitors course progression and provides assistance or guidance when needed. They can assist questions regarding ordering course materials, University policies, billing, navigating the course in Brightspace, and more.

To request an accommodation a student needs to go through the process with our UNE office. If the student has a current/already established accommodation in place with UNE it is the responsibility of the student to notify the program at summersessiononline@une.edu to ensure it is applied properly.

If you need to inquire about a possible accommodation, please reach out to the Student Access Center by calling 207-221-4418 or send an email to pcstudentaccess@une.edu.

Policies

 

UNE and College of Arts and Sciences Academic Policies and Student Information

ACADEMIC INTEGRITY

THE UNE STUDENT HANDBOOK STATES:
The University of New England (UNE) values academic integrity in all aspects of the educational experience. Any behavior that provides a student with an advantage or provides another student with another advantage or disadvantage may be considered academic misconduct.
Academic misconduct in any form undermines academic integrity and devalues the original works and contributions of others. It is the responsibility of all members of the university community to actively uphold academic integrity.
(UNE Student Handbook, 2024, p. 18)

Academic misconduct includes, but is not limited to:

a. Cheating:

  • Copying from another individual’s academic work, test, quiz, or other assignment.

  • Receiving, providing, and/or seeking assistance/aid from another individual to complete academic work, test, quiz, or other assignment.

  • The use of materials or devices during academic work, test, quiz, or other assignment which are not authorized.

  • Possession or use of current or previous course materials without the instructor’s permission.

  • Obtaining, or coercing another person to obtain, an unadministered test, test key, homework solution or computer program/software.

  • Substituting for another person, or permitting another person to substitute for oneself, to complete academic work.

  • Uploading, downloading, or accessing complete or incomplete academic work, test, quiz, or other assignment without the prior approval of the instructor.

  • Falsifying research data, laboratory reports, and/or other academic work offered for credit.

  • Altering and/or destroying the work of another student.

  • Failing to comply with instructions given by the person administering the academic work, test, quiz, or other assignment that results in academic misconduct not enumerated above.

b. Plagiarism/Self-Plagiarism:

  • The representation of words, ideas, illustrations, structure, computer code, other expression, or media of another as one’s own and/or failing to properly cite direct, paraphrased, or summarized materials.

  • The submission of the same academic work more than once without the prior permission of the instructor and/or failure to correctly cite previous work written by the same student.

c. Collusion:

  • Any unauthorized collaboration or attempted collaboration with another individual to complete academic work, test, quiz, or other assignment that results in similarities in the work, including, but not limited, to providing unauthorized assistance to another student and/or allowing another student access to completed academic work.

d. Falsifying Academic Records:

  • Altering or assisting in the altering of any official record of the University and/or submitting false information.

  • Omitting requested information that is required for, or related to, any official record of the University.

e. Misrepresenting Facts:

  • Providing false grades or falsifying other academic information.

  • Providing false or misleading information in an effort to injure another student academically.

  • Providing false or misleading information in an effort to receive credit for attendance or a postponement or an extension on academic work, test, quiz, or other assignment.

f. Violation of Professional Standards:

  • Any act or attempted act that violates specific Professional Standards or a published Code of Ethics.

NOTE: Students may be held accountable under this policy based on the applicable standards of their college or school of enrollment, declared major, degree program, and/or pre-professional program.

g. Unfair Academic Advantage:

  • Any other action or attempted action that may result in creating an unfair academic advantage for oneself or may result in creating an unfair academic advantage or disadvantage for another student.

The University procedures for reviewing and reporting charges of academic misconduct are found on page 114 of the 2024 UNE Student Handbook.
The College of Arts and Sciences policy on reviewing alleged acts of academic misconduct can be found at https://www.une.edu/cas/academic-policies.

Midterm Academic Progress Reports

The University of New England is committed to the academic success of its students. At the midterm of each semester, instructors will report the performance of each student as SATISFACTORY (S) or UNSATISFACTORY (U).
Instructors will announce when these midterm academic progress reports will be available for viewing via UNE Compass. This early alert system gives all students important information about progress in their courses.
Students who receive an UNSATISFACTORY midterm report should take immediate action by speaking with their instructor to discuss suggestions for improvement such as utilizing the services of academic advising, the Student Academic Success Center, Counseling Services, and Residential Education.

Student Academic Success Center (SASC)

The Student Academic Success Center offers a range of free services to support your academic achievement, including tutoring, writing support, digital project support, learning support, and many online resources.
To see and schedule available appointments go to https://une.tutortrac.com or visit the SASC.
To access our online resources, including links, guides, and video tutorials, visit Student Academic Success Center.

Students With Disabilities

The University of New England is committed to creating a learning environment that meets the needs of its diverse student body and will make reasonable accommodations for students with qualified disabilities.
Any student eligible for and needing academic adjustments or accommodations because of a disability is encouraged to request accommodations through the UNE Student Access Center.
Registration with the Student Access Center is required before accommodation requests can be granted.
Visit Student Access Center for more information.

LIBRARY SERVICES

UNE Library Services offers resources and services to support your success in this and every course.
Find books, articles, videos, and other credible resources through the library website and your Research by Subject guide.
Ask a Librarian or find your subject librarian to get help with your research, from developing search strategies to citing your sources.

Summer Session & Academic Engagement Policy

Online students are required to submit a graded assignment/discussion prior to Sunday evening at 11:59 pm EDT of the first week of the term. If a student does not submit a posting to the graded assignment/discussion by 11:59 pm EDT on Sunday of the first week, the student will be automatically dropped from the course for non-participation. Review the Student Summer Session Manual for full details.

Proctored Examinations

Your course may have proctored exams. Please see the course for the exact exam requirements, test-taker guidance, proctoring format, and allowances (such as calculators or whiteboards, as indicated in the course).

Information about exam attempts can be found in your course.

Technology Requirements

Please review the technical requirements for UNE Online Programs: Technical Requirements.

Course Length

A schedule of lectures and assignments is included in this syllabus.

Courses in the program are equivalent to one-semester courses designed to be completed in 6 or 12 weeks.

  1. Enrollment in the course begins the day your section opens which is listed in the Academic Calendar.
  2. Course due dates, start and end dates are in respect to Eastern Time.

Withdrawal and Refund Policies

Please review the policies in your confirmation email. Contact summersessiononline@une.edu with any questions.

Grade Policy

Students are expected to attempt and complete all graded assignments and proctored exams by the end date of the course.

Transcripts

Due to the Family Educational Rights and Privacy Act, only the student may request official transcripts. This may be done online by going to the University of New England Registrar website and following the directions on the page.

Academic Integrity

The University of New England values academic integrity in all aspects of the educational experience. Academic dishonesty in any form undermines this standard and devalues the original contributions of others. It is the responsibility of all members of the University community to actively uphold the integrity of the academy; failure to act, for any reason, is not acceptable.

Academic dishonesty includes, but is not limited to the following:

  1. Cheating, copying, or the offering or receiving of unauthorized assistance or information.
  2. Fabrication or falsification of data, results, or sources for papers or reports.
  3. Action which destroys or alters the work of another student.
  4. Multiple submission of the same paper or report for assignments in more than one course without permission of each instructor.
  5. Plagiarism, the appropriation of records, research, materials, ideas, or the language of other persons or writers and the submission of them as one's own.

Charges of academic dishonesty will be reviewed by the College. Penalties for students found responsible for violations may depend upon the seriousness and circumstances of the violation, the degree of premeditation involved, and/or the student’s previous record of violations. Appeal of a decision may be made to the Dean whose decision will be final. Student appeals will take place through the grievance process outlined in the student handbook.